Jonathan Mayito

25 papers receiving 236 citations

Peers

Jonathan Mayito
Comparison fields: 5 of 52
  • Applied Microbiology and Biotechnology 21
  • Infectious Diseases 90
  • Pharmacology 34
  • Molecular Medicine 15
  • Virology 12
Replace Ritah Mutagonda with:
Ritah Mutagonda Tanzania
Maria Amodio-Groton United States
Roeland E. Wasmann South Africa
Beatriz Larrú United States
Heinz J. Schaad Switzerland
Jennifer L. Small-Saunders United States
Patrick Kaonga Zambia
R. Brigg Turner United States
Tacilta Nhampossa Mozambique
Helen M. Crowe United States
Jonathan Mayito relative to Ritah Mutagonda Tanzania Ritah Mutagonda's profile →
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Citations per year

Countries citing papers authored by Jonathan Mayito

Since Specialization
Citations

This map shows the geographic impact of Jonathan Mayito's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan Mayito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Mayito more than expected).

Fields of papers citing papers by Jonathan Mayito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Mayito. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan Mayito. The network helps show where Jonathan Mayito may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Mayito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Mayito Line = papers co-authored together Jonathan Mayito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201273
2 201838
3 202128
4 201226
5 201214
6
Blood pressure profiles among Makerere University undergraduate students.
200510
7 20129
8 20208
9 20245
10 20235
11 20224
12 20243
13 20243
14 20063
15 20232
16 20252
17 20152
18 20242
19 20251
20 20241

About Jonathan Mayito

Jonathan Mayito is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Epidemiology, Molecular Medicine and Surgery, having authored 26 papers that have together received 244 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (7 papers), Tuberculosis Research and Epidemiology (6 papers), Antibiotic Resistance in Bacteria (4 papers), Mycobacterium research and diagnosis (3 papers), Pneumonia and Respiratory Infections (2 papers), Malaria Research and Control (2 papers), HIV/AIDS drug development and treatment (2 papers) and Diagnosis and treatment of tuberculosis (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (21 citations), Infectious Diseases (90 citations), Pharmacology (34 citations), Molecular Medicine (15 citations) and Virology (12 citations). Jonathan Mayito has collaborated with scholars based in Uganda, United Kingdom and United States. Frequent co-authors include Mohammed Lamorde, Pauline Byakika‐Kibwika, Warunee Hanpithakpong, Máirín Ryan, Adrian R. Martineau, David Patrick Kateete, Joel Tärning, Niklas Lindegårdh, David A. Jolliffe and Stephen T. Reece. Their work appears in journals such as PLoS ONE, International Journal of Infectious Diseases, AIDS, JAIDS Journal of Acquired Immune Deficiency Syndromes and The Journal of Infectious Diseases.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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